Dataset Versions
Versions
2023-10-25 2:30pm
v9
· a year ago
2023-09-28 5:34pm
v8
· a year ago
2023-09-27 11:09am
v7
· a year ago
2023-09-26 6:40pm
v6
· a year ago
2023-09-25 8:47pm
v5
· a year ago
2023-09-02 9:46am
v4
· a year ago
2023-08-30 10:59pm
v3
· a year ago
2023-08-26 9:43am
v2
· a year ago
2023-07-19 2:37pm
v1
· a year ago
v8
2023-09-28 5:34pm
Generated on Sep 28, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3016 Total Images
View All Images
Dataset Split
Train Set 85%
2562Images
Valid Set 10%
303Images
Test Set 5%
151Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Exposure: Between -33% and +33%